Analytical Review of Feature Extraction Techniques for Automatic Speech Recognition

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 14, Issue 4

Abstract

 Speech recognition is a multileveled pattern recognition task, in which acoustical signals are examined and structured into a hierarchy of sub word units (e.g., phonemes), words, phrases, and sentences. Each level may provide additional temporal constraints, e.g., known word pronunciations or legal word sequences, which can compensate for errors or uncertainties at lower levels. This hierarchy of constraints can best be exploited by combining decisions probabilistically at all lower levels, and making discrete decisions only at the highest level.

Authors and Affiliations

Rajesh Makhijani

Keywords

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  • EP ID EP115488
  • DOI -
  • Views 111
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How To Cite

Rajesh Makhijani (2013).  Analytical Review of Feature Extraction Techniques for Automatic Speech Recognition. IOSR Journals (IOSR Journal of Computer Engineering), 14(4), 61-67. https://europub.co.uk/articles/-A-115488